How this analysis was created: This summary and feature list were written by an AI model that read the project's README and public documentation pages. Each feature links to the documentation it came from; stars, license and language come straight from the GitHub API. The model does not read the source code, and the analysis is refreshed when the project is re-analysed. Learn more on our About page.
Data Quality and Observability platform for the whole data lifecycle, from profiling new data sources to full automation with Data Observability. Configure data quality checks from the UI or in YAML files, let DQOps run the data quality checks daily to detect data quality issues.
The main features of dqops/dqo are: Data Quality and Testing.
Open-source alternatives to dqops/dqo include: aegis-dq/aegis-dq — Open, audit-grade agentic data quality framework with portable industry packs. grai-io/grai-core. nnnkkk7/snowflake-emulator — A lightweight Snowflake emulator built with Go and DuckDB for local development and testing. provero-org/provero — Declarative data quality engine. Define checks in YAML, run anywhere. rbmuller/scherlok — A detective for your data. Zero-config data quality monitoring — works with dbt, Postgres, BigQuery, Snowflake. No YAML. vertti/daffy — Lightweight DataFrame validation decorators for Pandas, Polars, Modin, and PyArrow. No custom types required.
Open, audit-grade agentic data quality framework with portable industry packs
A lightweight Snowflake emulator built with Go and DuckDB for local development and testing
Declarative data quality engine. Define checks in YAML, run anywhere.
